Chuyang Ye - Citegraph

Author Info

Name	Affiliation	Papers
CHUYANG YE	Image Analysis and Computing Laboratory, Electrical and Computer Engineering Department, Johns Hopkins University, Baltimore, MD, 21218, USA	29
Collaborators	Citations	PageRank
41	61	11.12
Referers	Referees	References
195	604	244

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100604

Publications (29 rows)

Collaborators (41 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects	0	0.34	2021
Multimodal super-resolved q-space deep learning	1	0.35	2021
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation	0	0.34	2021
Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks	2	0.36	2021
Positive-Unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations	0	0.34	2021
Super-Resolved q-Space deep learning with uncertainty quantification	0	0.34	2021
An improved deep network for tissue microstructure estimation with uncertainty quantification.	1	0.34	2020
Super-Resolved q-Space Deep Learning.	0	0.34	2019
A deep network for tissue microstructure estimation using modified LSTM units.	2	0.38	2019
Dictionary-based fiber orientation estimation with improved spatial consistency.	0	0.34	2018
Probabilistic tractography using Lasso bootstrap.	0	0.34	2017
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework.	0	0.34	2017
Fiber Orientation Estimation Guided by a Deep Network.	0	0.34	2017
Learning-based Ensemble Average Propagator Estimation.	0	0.34	2017
Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles.	1	0.34	2016
Fiber Orientation Estimation Using Nonlocal and Local Information.	1	0.35	2016
A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation.	0	0.34	2016
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease.	3	0.38	2016
Estimation of Fiber Orientations Using Neighborhood Information.	9	0.54	2016
Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging	1	0.36	2015
A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.	4	0.43	2015
Probabilistic Fiber Tracking Using A Modified Lasso Bootstrap Method	0	0.34	2015
Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification.	4	0.42	2014
A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted Imaging.	3	0.45	2014
THALAMIC PARCELLATION FROM MULTI-MODAL DATA USING RANDOM FOREST LEARNING.	5	0.48	2013
Fully automatic segmentation of the dentate nucleus using diffusion weighted images	0	0.34	2012
A fiber tracking method guided by volumetric tract segmentation.	1	0.36	2012
Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation	2	0.41	2012
Direct segmentation of the major white matter tracts in diffusion tensor images.	21	0.78	2011